Senior Curation Scientist

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Work in collaboration with the Oncology Data Curation team and various cross-functional partners to create data structures in both JSON and relational formats that capture the intricacies of oncology testing data.

• Analyze oncology diagnostic test results to accurately align them with enterprise data models.

• Create mappings between clinical test outcomes and the structures of enterprise data warehouses to facilitate large-scale data integration.

• Implement and uphold clinical data standards, including ICD-O-3, FHIR, mCODE, LOINC, ICD-10, UMLS, SNOMED, and other relevant standards as necessary.

• Normalize disease and biomarker data utilizing controlled biomedical vocabularies and classifications.

• Develop and sustain biomedical ontologies to adapt to the advancing knowledge within oncology.

• Utilize natural language processing techniques to extract structured data from clinical test results.

• Curate, analyze, harmonize, and oversee extensive oncology data sets while maintaining high standards of data quality.

• Collaborate with engineering teams and engage in the entire development lifecycle, from research and prototyping to production deployment.

• Contribute to data quality, governance, and ongoing improvement initiatives across oncology data platforms.

⛳️ Requirements

• A Bachelor’s degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational Biology, or Biostatistics with at least 5 years of experience; or a Master’s degree with a minimum of 3 years of experience.

• At least 1 year of proven experience in bioinformatics, information integration, or knowledge modeling.

• A minimum of 1 year of experience working with and processing next-generation sequencing (NGS) datasets and databases.

• At least 1 year of experience utilizing general bioinformatics resources such as NCBI Entrez Gene, PubMed, OMIM, or ClinVar.

• Familiarity with clinical data standards like HL7 and FHIR.

• A solid understanding of cancer biology and oncology treatments.

• Experience in curating biomedical data and integrating terminologies for ontology creation.

• Background in working with relational databases and platforms such as Databricks or SAP HANA.

• Proficient in Python or Tcl scripting and SQL query development.

• Familiarity with tools such as Jira, Confluence, and version control systems (Git).

• Experience in integrating both public and proprietary biomedical information sources at scale.

• Exposure to scientific natural language processing or text-mining technologies.

• Strong attention to detail coupled with excellent organizational, analytical, and communication abilities.

• Capability to collaborate effectively across multidisciplinary project teams with a strong sense of accountability.

• Ability to showcase relevant research expertise through publications, presentations, software tools, or applied knowledge.

🏝️ Benefits

• Medical

• Dental

• Vision

• Life

• STD/LTD

• 401(k)

• Paid Time Off (PTO) or Flexible Time Off (FTO)

• Tuition Reimbursement

• Employee Stock Purchase Plan